self-conscious - Story 126538 | Emotion Vectors in Gemma4-31B

It wasn’t just the money. It was the validation. For Ben, a quiet and introspective writer, the scholarship had been a sign that he was on the right track. Now, it was gone, a cruel twist of fate.

He sat alone in the library, his usual haven, the stacks of books now seeming to close in on him. He felt his hands begin to tremble as he reread the email, the words a cold condemnation. He felt compelled to hide.

He couldn't shake the feeling of inadequacy, the nagging voice that told him he wasn't good enough. He imagined the other student, the true recipient of the funds, and felt a deep sense of shame. He wanted to disappear.

Emotion: self-conscious

Cluster: Embarrassment

PC1 (Valence): -1.03 Negative

PC2 (Disposition): 0.52

Role in Research

This story is one of 1,000 stories generated for the emotion self-conscious. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 self-conscious stories, after denoising with neutral dialogue baselines, produces the self-conscious emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:

`S`	0.307
`C`	0.298
`ness`	0.273
`尴尬`	0.263
`😶`	0.242

Suppressed:

`que`	-0.399
`de`	-0.266
`triumphant`	-0.266
`আনন্দের`	-0.247
`ايا`	-0.238